Reliable SVD based Semi-blind and Invisible Watermarking Schemes

TL;DR

This paper introduces a semi-blind and invisible watermarking scheme based on Singular Value Decomposition (SVD), leveraging the stability of SVD subspaces for secure, robust image watermarking with enhanced security features.

Contribution

It presents a novel SVD-based semi-blind watermarking method and extends it to an invisible hash-based scheme with security analysis in the random oracle model.

Findings

The scheme effectively preserves image information using SVD.

The hash-based watermarking scheme is unforgeable and invisible.

Security analysis confirms robustness against forgery and non-repudiation.

Abstract

A semi-blind watermarking scheme is presented based on Singular Value Decomposition (SVD), which makes essential use of the fact that, the SVD subspace preserves significant amount of information of an image and is a one way decomposition. The principal components are used, along with the corresponding singular vectors of the watermark image to watermark the target image. For further security, the semi-blind scheme is extended to an invisible hash based watermarking scheme. The hash based scheme commits a watermark with a key such that, it is incoherent with the actual watermark, and can only be extracted using the key. Its security is analyzed in the random oracle model and shown to be unforgeable, invisible and satisfying the property of non-repudiation.